TreeWAS – [E53.8] Deficiency of other specified B group vitamins

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.890	0.110	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.843	0.157	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.757	0.243	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.737	0.263	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.722	0.278	0.000
rs117116392 lBF = `15.9603` Chr`13` : `36,649,606`	0.688	0.312	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.684	0.316	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.664	0.336	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.624	0.376	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.591	0.409	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.574	0.426	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.507	0.493	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.485	0.515	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.483	0.517	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.482	0.518	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.482	0.518	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.480	0.520	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.474	0.526	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.473	0.527	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.466	0.534	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.458	0.542	0.000
rs78430185 lBF = `8.27231` Chr`13` : `55,695,116`	0.440	0.560	0.000
rs17079773 lBF = `1.15754` Chr`13` : `24,598,384`	0.000	0.569	0.431
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.419	0.581	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.419	0.581	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.415	0.585	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.414	0.586	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.410	0.590	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.394	0.606	0.000
rs78333854 lBF = `12.5594` Chr`13` : `38,718,163`	0.393	0.607	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.392	0.608	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.392	0.608	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.389	0.611	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.383	0.617	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.381	0.619	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.379	0.621	0.000
rs17065323 lBF = `8.06558` Chr`13` : `44,627,788`	0.368	0.632	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.366	0.634	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.353	0.647	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.353	0.647	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.349	0.651	0.000
rs494558 lBF = `2.91881` Chr`13` : `110,929,162`	0.347	0.652	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.342	0.658	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.337	0.662	0.000
rs79649944 lBF = `10.1687` Chr`13` : `73,131,228`	0.334	0.666	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.332	0.668	0.000
rs114280567 lBF = `5.46027` Chr`13` : `45,475,582`	0.328	0.672	0.000
rs118101200 lBF = `24.1388` Chr`13` : `60,119,682`	0.327	0.672	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.324	0.675	0.000
rs150813880 lBF = `2.86116` Chr`13` : `109,793,177`	0.323	0.677	0.000
rs11571818 lBF = `8.93415` Chr`13` : `32,968,810`	0.322	0.678	0.000
rs149773673 lBF = `6.57833` Chr`13` : `104,749,836`	0.321	0.678	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.320	0.680	0.000
rs11571833 lBF = `9.84025` Chr`13` : `32,972,626`	0.318	0.682	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.317	0.683	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.313	0.687	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.312	0.687	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.309	0.690	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.306	0.694	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.304	0.696	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.299	0.701	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.294	0.705	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.293	0.707	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.291	0.709	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.289	0.711	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.289	0.711	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.282	0.718	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.280	0.720	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.275	0.725	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.267	0.732	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.267	0.733	0.000
rs77868089 lBF = `15.3181` Chr`13` : `40,396,137`	0.262	0.737	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.261	0.739	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.260	0.740	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.244	0.755	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.242	0.757	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.238	0.762	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.236	0.764	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.231	0.768	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.230	0.770	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.222	0.777	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.216	0.784	0.000
rs117811601 lBF = `12.5145` Chr`13` : `109,010,696`	0.216	0.784	0.000
rs3922435 lBF = `0.977727` Chr`13` : `31,314,680`	0.000	0.786	0.214
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.203	0.797	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.198	0.802	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.196	0.804	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.193	0.807	0.001
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.189	0.810	0.000
rs9549345 lBF = `11.7981` Chr`13` : `113,718,812`	0.188	0.812	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.183	0.817	0.000
rs803788 lBF = `17.6946` Chr`13` : `71,617,925`	0.183	0.817	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.176	0.824	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.172	0.828	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.169	0.831	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.168	0.832	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.156	0.843	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.157	0.843	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.153	0.847	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.151	0.848	0.001
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.150	0.849	0.000
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.149	0.851	0.000
rs17064002 lBF = `3.11882` Chr`13` : `43,570,801`	0.148	0.851	0.000
rs7323079 lBF = `11.8401` Chr`13` : `47,432,928`	0.148	0.851	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.144	0.856	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.142	0.857	0.001
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.141	0.858	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.140	0.859	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.138	0.862	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.137	0.863	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.137	0.863	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.133	0.867	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.129	0.871	0.000
rs188448092 lBF = `23.8385` Chr`13` : `24,544,751`	0.128	0.871	0.001
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.127	0.873	0.001
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.113	0.886	0.002
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.111	0.889	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.111	0.889	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.108	0.891	0.001
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.109	0.891	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.109	0.891	0.000
rs4942278 lBF = `11.2944` Chr`13` : `44,681,950`	0.108	0.892	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.105	0.894	0.001
rs2323397 lBF = `3.00331` Chr`13` : `37,762,637`	0.104	0.896	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.101	0.899	0.000
rs16950650 lBF = `0.313673` Chr`13` : `95,775,432`	0.101	0.899	0.000
rs117577249 lBF = `14.6302` Chr`13` : `56,911,130`	0.100	0.899	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.099	0.900	0.002
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.099	0.901	0.001
rs7993214 lBF = `1.09418` Chr`13` : `40,350,912`	0.097	0.903	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.079	0.920	0.001
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.080	0.920	0.000
rs16965962 lBF = `0.137252` Chr`13` : `105,807,023`	0.076	0.924	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.073	0.926	0.001
rs17081231 lBF = `1.56724` Chr`13` : `66,967,622`	0.071	0.928	0.000
rs17472393 lBF = `7.45108` Chr`13` : `100,056,531`	0.063	0.936	0.001
rs9536754 lBF = `7.90128` Chr`13` : `55,132,519`	0.041	0.959	0.001
rs16954776 lBF = `0.292858` Chr`13` : `98,700,617`	0.041	0.959	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.037	0.962	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.037	0.963	0.000
rs2479768 lBF = `0.430165` Chr`13` : `29,620,654`	0.000	0.965	0.035
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.032	0.967	0.001
rs80208670 lBF = `0.220763` Chr`13` : `84,438,088`	0.028	0.971	0.001
rs9517320 lBF = `-0.0794561` Chr`13` : `99,126,303`	0.029	0.971	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.028	0.972	0.000
rs12429252 lBF = `0.183936` Chr`13` : `30,916,263`	0.027	0.973	0.001
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.025	0.974	0.000
rs1006064 lBF = `-0.00100883` Chr`13` : `51,846,605`	0.025	0.975	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.022	0.977	0.001
rs16966918 lBF = `2.38483` Chr`13` : `106,248,033`	0.023	0.977	0.000
rs189465671 lBF = `0.0435861` Chr`13` : `81,536,365`	0.022	0.978	0.000
rs78553789 lBF = `0.0338594` Chr`13` : `109,556,519`	0.017	0.983	0.000
rs9532969 lBF = `-0.0718052` Chr`13` : `42,591,839`	0.000	0.984	0.016
rs116855232 lBF = `0.102774` Chr`13` : `48,619,855`	0.014	0.985	0.001
rs912330 lBF = `-0.0737766` Chr`13` : `99,131,294`	0.000	0.985	0.015
rs6563739 lBF = `0.0802017` Chr`13` : `40,239,785`	0.015	0.985	0.000
rs9603616 lBF = `1.47804` Chr`13` : `40,368,069`	0.000	0.988	0.012
rs17638544 lBF = `1.4697` Chr`13` : `42,956,621`	0.012	0.988	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.012	0.988	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.008	0.989	0.003
rs12866352 lBF = `0.655005` Chr`13` : `107,045,074`	0.010	0.990	0.000
rs7329174 lBF = `0.0168112` Chr`13` : `41,558,110`	0.009	0.990	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.008	0.991	0.001
rs1449572 lBF = `-0.00280935` Chr`13` : `49,466,931`	0.009	0.991	0.000
rs373767 lBF = `0.0146481` Chr`13` : `23,294,033`	0.000	0.992	0.008
rs9603612 lBF = `1.25009` Chr`13` : `40,334,852`	0.000	0.992	0.008
rs7335046 lBF = `3.79919` Chr`13` : `100,041,738`	0.000	0.992	0.008
rs2039553 lBF = `-0.0591265` Chr`13` : `80,299,722`	0.007	0.993	0.000
rs9552911 lBF = `0.00987537` Chr`13` : `23,864,657`	0.006	0.993	0.000
rs6490525 lBF = `0.00813709` Chr`13` : `20,736,216`	0.006	0.993	0.000
rs9525562 lBF = `-0.0535594` Chr`13` : `42,611,667`	0.000	0.993	0.007
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.004	0.994	0.001
rs34394770 lBF = `0.964353` Chr`13` : `40,333,369`	0.000	0.994	0.006
rs352236 lBF = `0.00621898` Chr`13` : `70,023,685`	0.005	0.995	0.000
rs9540493 lBF = `0.203441` Chr`13` : `66,205,704`	0.000	0.995	0.005
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.004	0.995	0.001
rs544434 lBF = `0.00814809` Chr`13` : `102,849,265`	0.004	0.995	0.000
rs79340079 lBF = `0.00715483` Chr`13` : `63,507,482`	0.004	0.995	0.000
rs139612726 lBF = `-0.00202091` Chr`13` : `71,357,990`	0.004	0.995	0.000
rs12429545 lBF = `0.248866` Chr`13` : `54,102,206`	0.004	0.996	0.000
rs912969 lBF = `-0.0148671` Chr`13` : `103,867,104`	0.000	0.996	0.004
rs2593525 lBF = `0.00392329` Chr`13` : `69,919,399`	0.003	0.996	0.000
rs3783006 lBF = `0.110519` Chr`13` : `99,111,209`	0.004	0.996	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.003	0.997	0.000
rs9316500 lBF = `1.74026` Chr`13` : `51,094,114`	0.000	0.997	0.003
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.003	0.997	0.000
rs11069349 lBF = `0.275302` Chr`13` : `99,774,647`	0.003	0.997	0.000
rs12875271 lBF = `6.70558` Chr`13` : `110,792,743`	0.000	0.997	0.003
rs61956285 lBF = `0.0642539` Chr`13` : `71,871,526`	0.002	0.997	0.000
rs150841795 lBF = `0.142928` Chr`13` : `54,137,749`	0.000	0.997	0.003
rs9568867 lBF = `0.205963` Chr`13` : `54,107,352`	0.002	0.997	0.000
rs2051090 lBF = `-0.0900072` Chr`13` : `36,454,193`	0.003	0.997	0.000
rs9528384 lBF = `0.00656869` Chr`13` : `62,302,565`	0.002	0.998	0.000
rs11070098 lBF = `-0.0890338` Chr`13` : `95,505,262`	0.002	0.998	0.000
rs184940006 lBF = `0.00276156` Chr`13` : `105,078,157`	0.002	0.998	0.000
rs1777672 lBF = `0.00295912` Chr`13` : `36,177,819`	0.002	0.998	0.000
rs9536463 lBF = `0.1609` Chr`13` : `54,132,247`	0.000	0.998	0.002
rs3742130 lBF = `0.312804` Chr`13` : `99,907,341`	0.000	0.998	0.002
rs184488877 lBF = `0.00181853` Chr`13` : `95,388,117`	0.002	0.998	0.000
rs509915 lBF = `0.253823` Chr`13` : `26,759,884`	0.002	0.998	0.000
rs17076896 lBF = `0.482021` Chr`13` : `19,756,063`	0.002	0.998	0.000
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rs9512900 lBF = `-0.02378` Chr`13` : `28,429,738`	0.000	1.000	0.000
rs7317940 lBF = `-0.0305334` Chr`13` : `78,021,218`	0.000	1.000	0.000
rs9599394 lBF = `0.0800155` Chr`13` : `69,659,760`	0.000	1.000	0.000
rs11620399 lBF = `0.0575021` Chr`13` : `48,436,925`	0.000	1.000	0.000
rs9599403 lBF = `0.032534` Chr`13` : `69,676,334`	0.000	1.000	0.000
rs7323755 lBF = `0.00232126` Chr`13` : `45,900,267`	0.000	1.000	0.000
rs7324021 lBF = `-0.00440337` Chr`13` : `20,637,140`	0.000	1.000	0.000
rs6561151 lBF = `3.55934` Chr`13` : `44,484,706`	0.000	1.000	0.000
rs188014 lBF = `0.290841` Chr`13` : `50,969,923`	0.000	1.000	0.000
rs9301951 lBF = `0.0932238` Chr`13` : `94,952,832`	0.000	1.000	0.000
rs1529276 lBF = `0.0221971` Chr`13` : `103,928,007`	0.000	1.000	0.000
rs111859823 lBF = `0.00503855` Chr`13` : `110,660,190`	0.000	1.000	0.000
rs584480 lBF = `-0.0158913` Chr`13` : `72,345,505`	0.000	1.000	0.000
rs7326068 lBF = `-0.0194431` Chr`13` : `21,209,512`	0.000	1.000	0.000
rs2798269 lBF = `-0.0379506` Chr`13` : `22,131,897`	0.000	1.000	0.000
rs12428035 lBF = `-0.0567497` Chr`13` : `96,300,872`	0.000	1.000	0.000
rs7328626 lBF = `1.08999` Chr`13` : `54,150,907`	0.000	1.000	0.000
rs9302065 lBF = `0.280585` Chr`13` : `95,971,016`	0.000	1.000	0.000
rs11838776 lBF = `0.272241` Chr`13` : `111,040,681`	0.000	1.000	0.000
rs7335631 lBF = `0.0897623` Chr`13` : `30,957,688`	0.000	1.000	0.000
rs7338174 lBF = `-0.00061928` Chr`13` : `51,924,375`	0.000	1.000	0.000
rs7331540 lBF = `-0.0154477` Chr`13` : `32,710,520`	0.000	1.000	0.000
rs9531686 lBF = `-0.0895328` Chr`13` : `85,549,736`	0.000	1.000	0.000
rs941823 lBF = `1.21705` Chr`13` : `41,013,977`	0.000	1.000	0.000
rs55949311 lBF = `0.956646` Chr`13` : `54,131,916`	0.000	1.000	0.000
rs55940034 lBF = `0.737182` Chr`13` : `111,043,309`	0.000	1.000	0.000
rs10492494 lBF = `0.136868` Chr`13` : `74,920,186`	0.000	1.000	0.000
rs61999321 lBF = `-0.001448` Chr`13` : `29,898,783`	0.000	1.000	0.000
rs9565309 lBF = `-0.0108052` Chr`13` : `77,577,027`	0.000	1.000	0.000
rs9533282 lBF = `-0.035599` Chr`13` : `32,627,648`	0.000	1.000	0.000
rs17083838 lBF = `-0.0454363` Chr`13` : `26,911,112`	0.000	1.000	0.000
rs1109630 lBF = `5.363` Chr`13` : `114,820,990`	0.000	1.000	0.000
rs3765535 lBF = `-0.0181042` Chr`13` : `95,815,535`	0.000	1.000	0.000
rs140979249 lBF = `-0.0221127` Chr`13` : `36,603,961`	0.000	1.000	0.000
rs71440053 lBF = `-0.0369171` Chr`13` : `110,829,882`	0.000	1.000	0.000
rs2478333 lBF = `-0.0533974` Chr`13` : `48,162,558`	0.000	1.000	0.000
rs2253017 lBF = `-0.0704988` Chr`13` : `21,300,909`	0.000	1.000	0.000
rs9525625 lBF = `2.29591` Chr`13` : `43,018,030`	0.000	1.000	0.000
rs9594759 lBF = `1.98815` Chr`13` : `43,032,593`	0.000	1.000	0.000
rs10507577 lBF = `0.213039` Chr`13` : `53,968,091`	0.000	1.000	0.000
rs2325244 lBF = `0.200622` Chr`13` : `70,430,093`	0.000	1.000	0.000
rs17450420 lBF = `-0.0199358` Chr`13` : `105,039,146`	0.000	1.000	0.000
rs7999075 lBF = `-0.0558227` Chr`13` : `22,620,207`	0.000	1.000	0.000
rs9507041 lBF = `-0.0637433` Chr`13` : `23,744,379`	0.000	1.000	0.000
rs7998314 lBF = `-0.0691174` Chr`13` : `94,233,129`	0.000	1.000	0.000
rs9513675 lBF = `-0.0960263` Chr`13` : `100,493,160`	0.000	1.000	0.000
rs8000124 lBF = `-0.102821` Chr`13` : `53,605,235`	0.000	1.000	0.000
rs314580 lBF = `0.151297` Chr`13` : `89,911,704`	0.000	1.000	0.000
rs1886449 lBF = `0.135937` Chr`13` : `73,932,114`	0.000	1.000	0.000
rs17066873 lBF = `0.0786235` Chr`13` : `77,464,009`	0.000	1.000	0.000
rs9568281 lBF = `0.0326215` Chr`13` : `50,185,204`	0.000	1.000	0.000
rs117358016 lBF = `0.0151212` Chr`13` : `97,166,483`	0.000	1.000	0.000
rs1340317 lBF = `-0.0100071` Chr`13` : `64,930,995`	0.000	1.000	0.000
rs116489739 lBF = `-0.0224289` Chr`13` : `64,953,525`	0.000	1.000	0.000
rs9596905 lBF = `-0.0317955` Chr`13` : `54,633,373`	0.000	1.000	0.000
rs11148708 lBF = `-0.0690633` Chr`13` : `67,160,681`	0.000	1.000	0.000
rs6491411 lBF = `-0.0811288` Chr`13` : `98,904,568`	0.000	1.000	0.000
rs9556711 lBF = `0.109778` Chr`13` : `98,016,416`	0.000	1.000	0.000
rs8002180 lBF = `0.0676503` Chr`13` : `95,922,765`	0.000	1.000	0.000
rs1926320 lBF = `0.039235` Chr`13` : `36,652,617`	0.000	1.000	0.000
rs17381960 lBF = `0.0254798` Chr`13` : `50,095,682`	0.000	1.000	0.000
rs72655104 lBF = `-0.00113624` Chr`13` : `98,823,146`	0.000	1.000	0.000
rs9513627 lBF = `-0.0264286` Chr`13` : `100,196,952`	0.000	1.000	0.000
rs35540212 lBF = `-0.0279034` Chr`13` : `36,768,682`	0.000	1.000	0.000
rs17065868 lBF = `-0.0279768` Chr`13` : `45,055,091`	0.000	1.000	0.000
rs990324 lBF = `-0.030626` Chr`13` : `33,387,246`	0.000	1.000	0.000
rs9561329 lBF = `-0.052235` Chr`13` : `94,011,169`	0.000	1.000	0.000
rs9579199 lBF = `-0.0532141` Chr`13` : `29,164,783`	0.000	1.000	0.000
rs2220327 lBF = `0.0141401` Chr`13` : `64,946,698`	0.000	1.000	0.000
rs9598783 lBF = `0.0134805` Chr`13` : `64,945,174`	0.000	1.000	0.000
rs9540294 lBF = `0.00420883` Chr`13` : `65,564,031`	0.000	1.000	0.000
rs9563576 lBF = `0.00138443` Chr`13` : `58,670,147`	0.000	1.000	0.000
rs117969561 lBF = `-0.00199815` Chr`13` : `101,211,189`	0.000	1.000	0.000
rs3790022 lBF = `-0.0147772` Chr`13` : `51,576,170`	0.000	1.000	0.000
rs7984522 lBF = `-0.0297294` Chr`13` : `109,347,659`	0.000	1.000	0.000
rs9561252 lBF = `-0.0321187` Chr`13` : `93,729,285`	0.000	1.000	0.000
rs814141 lBF = `-0.0324034` Chr`13` : `109,511,059`	0.000	1.000	0.000
rs73197788 lBF = `-0.0401139` Chr`13` : `54,593,717`	0.000	1.000	0.000
rs10508196 lBF = `-0.0462467` Chr`13` : `108,479,966`	0.000	1.000	0.000
rs1326116 lBF = `-0.0573124` Chr`13` : `26,375,046`	0.000	1.000	0.000
rs7097 lBF = `-0.0579812` Chr`13` : `28,197,436`	0.000	1.000	0.000
rs11148252 lBF = `-0.0792541` Chr`13` : `53,009,048`	0.000	1.000	0.000
rs17536328 lBF = `-0.101345` Chr`13` : `43,143,029`	0.000	1.000	0.000
rs9567307 lBF = `4.38886` Chr`13` : `44,471,877`	0.000	1.000	0.000
rs12429889 lBF = `0.314078` Chr`13` : `74,742,322`	0.000	1.000	0.000
rs9315762 lBF = `0.100513` Chr`13` : `40,741,907`	0.000	1.000	0.000
rs17070284 lBF = `0.0707246` Chr`13` : `79,359,424`	0.000	1.000	0.000
rs7986704 lBF = `0.0261308` Chr`13` : `60,279,546`	0.000	1.000	0.000
rs7987251 lBF = `0.0261308` Chr`13` : `60,279,818`	0.000	1.000	0.000
rs9557321 lBF = `0.0184571` Chr`13` : `100,521,101`	0.000	1.000	0.000
rs9571178 lBF = `0.0104591` Chr`13` : `64,936,243`	0.000	1.000	0.000
rs626277 lBF = `0.00642214` Chr`13` : `72,347,696`	0.000	1.000	0.000
rs7324845 lBF = `-0.0123017` Chr`13` : `46,703,142`	0.000	1.000	0.000
rs1218282 lBF = `-0.0182198` Chr`13` : `79,455,832`	0.000	1.000	0.000
rs9557237 lBF = `-0.0285778` Chr`13` : `100,110,910`	0.000	1.000	0.000
rs16946160 lBF = `-0.0293461` Chr`13` : `92,203,813`	0.000	1.000	0.000
rs9535307 lBF = `-0.0456365` Chr`13` : `50,291,842`	0.000	1.000	0.000
rs2184971 lBF = `-0.0496243` Chr`13` : `100,818,092`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.7048

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2388

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9909

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9878

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9846

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9512

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9492

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.9435

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9348

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9266

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9237

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8936

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8813

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8708

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8560

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8509

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8446

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8410

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8331

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8323

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.8131

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7956

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7914

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7567

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7494

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7452

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7176

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6905

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6553

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6350

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6293

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6181

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6165

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.6109

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6050

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6002

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5715

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5649

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5450

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5216

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5215

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5205

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5183

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4943

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4655

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4552

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4482

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4481

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4364

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4342

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4187

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.4181

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4157

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4126

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4114

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4107

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3896

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3847

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3828

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3494

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3457

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3426

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3200

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3162

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3106

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3037

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3031

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2897

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2829

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2795

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2624

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2594

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.2479

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2403

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2309

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2308

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2288

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2209

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2139

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2054

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.2033

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2002

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1967

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1942

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1940

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1868

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1684

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1552

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1482

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1458

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1433

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1377

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1349

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1219

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1171

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1021

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.1014

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0994

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0934

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0928

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0877

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0843

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0817

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.0786

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0785

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.0758

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0756

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0750

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0748

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0705

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0699

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0672

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0670

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0640

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0620

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0583

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0571

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0555

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0550

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0544

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0537

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.0526

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0521

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0500

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)